Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .
the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!
By Mohammed A E M•
the subject kinda not hard but not easy to understand also, how ever the instractor was kinda fast which made me lake some of the information.
By Ivan G•
To be honest, I like the subject but found the course material and content not very well structured. I missed more mathematical foundation.
By Pawel D•
Brian Caffo is explaining the Statistical Inference methodically, but he could work on making the lectures less tiresome and monotonous.
By Ramon S•
Not really a logical path to follow. Too much topics for me. I really needed more examples with code.
Thanks a lot for the lessons!
By Naeem K•
The amount of materials is more than course period. You may need to study a couple of other resources to understand the course.
By Hernan S•
The subject is interesting, but the explanations are a little confusing. May need more diverse real-life examples to relate.
By Masahiro H•
it gives an idea of how one is prepared to ingress to Data Science. I
see that I need to review it more carefully later on.
By Stavros S•
Weeks 3 and 4 should have been split into 2 extra weeks to explain the concepts deeper and also have more exercises
By Marcus H Y T•
Concepts are not well explained and slides are not well prepared. Last few topics are too brief to be useful.
By Maria C I S•
3 stars because a total beginner would not have been able to follow these lessons without a lot of rewinding.
By Joe F•
Materials need to be updated - there are way too many inconsistencies between videos, exercises, and slides.
By Vasudevan D•
Too much concepts to learn and practice. Course material can be little more engaging and split accordingly.
By Maxim M•
Very difficult lectures. You need a solid statistical background to keep up with the pace of the professor.
The ideas and concepts explained here are really important but are explained/written in a bit messy manner.
By xuwei l•
lectures notes is not details enough, had to google around other materials to grasp the courser work better
By Muhammad M A S•
It's very important and very helpful, but it needs to be of more time/low speed to be perfectly absorbed.
By Rezoanoor/CS/Rezoanoor R•
It covers a lot of topics, good for that but submitting assignment via Swirl is extremely boring.
By manuel s g•
This is module where I have learn less. Instructor also was not dynamic as previous ones.
By Codrin K•
Too bad it all starts from mathematical theorey; I would prefer a problem based approach.
By Alex F•
Very detailed and a little painful :) but I am sure it will be useful information
By Lindsay S•
These are complex topics, and just the quick overview doesn't fully explain them.
By Nicolas H•
Me hubiera gustado tener más detalle de algunos conceptos clave de estadística.
By Gibson W•
Not one a statistics newbie should take, had to take it twice just to grasp 80%
By Bernardo D•
Content runs a bit fast but good course for stat inference with R focus.
By CY Z•
The materials are not so clear to someone who's not familiar with stat.